If Azure Data Factory, Databricks and PySpark are part of your daily toolkit, I think you'll be interested in this one.

I'm hiring an Azure Data Engineer in Sydney for a permanent role, building and maintaining scalable data pipelines and integration solutions on the Microsoft Azure data platform.

Location: Sydney [hybrid/onsite]

Type: Permanent, full time

Experience: 6 - 12 years

What the role involves:
Designing, developing and maintaining scalable data pipelines and data integration solutions
Working across Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics and Azure SQL
SQL, data modelling, performance tuning and database optimisation
Supporting data quality, validation, monitoring and troubleshooting
Developing solutions in Python, PySpark or Scala
Working within data governance, security, privacy and compliance requirements

Experience:




5+ years of hands-on experience in Data Engineering, Data Warehousing, or a related data-focused role
Proven experience designing, developing, and maintaining scalable data pipelines and data integration solutions.
Hands-on experience with Microsoft Azure data platform services, including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL.
Experience with SQL, data modelling, performance tuning, and database optimisation.
Experience supporting data quality, validation, monitoring, and troubleshooting activities
Experience developing solutions using Python, PySpark, or Scala.
Experience with data governance, security, privacy and compliance requirements.

📌 Azure Data Engineer Melbourne (Australia)
🏢 Zentact Systems
📍 Australia